Results 201 to 210 of about 776,356 (310)
Transparency in healthcare AI: Testing EU regulatory provisions against users' transparency needs. [PDF]
Spagnolli A +4 more
europepmc +1 more source
A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon +4 more
wiley +1 more source
Ultra-Wideband Optically Transparent Absorbing Metasurface Based on Multilayer ITO Films. [PDF]
Lu G, Liu M, Wang B.
europepmc +1 more source
Lipoprotein‐mimicking nanoparticles (SL‐NPs), comprising Fe3O4@SiO2 cores coated with liposomal bilayers, selectively capture lipoproteins through protein corona formation. The resulting SL‐NP‐lipoprotein complexes can be removed by low‐speed centrifugation, thereby enhancing the purity of small extracellular vesicles (sEVs) isolated from human serum ...
Man‐Di Wang +7 more
wiley +1 more source
Morphological and Biomechanical Characterization of Amniotic Membranes Across Species: Equine, Canine, Porcine, Ovine, and Human Samples-A Pilot Study. [PDF]
Petersen MB +8 more
europepmc +1 more source
High‐Efficiency Deep Blue Single‐Gaussian Europium(II) Emitters and Their Emitter‐Host Interactions
Crown‐ether ligands and carborate anions enable vacuum‐processable Eu(II) emitters with efficient single‐Gaussian deep‐blue luminescence. Combined photophysical and computational analyses reveal that excited‐electron confinement and steric shielding of the europium center jointly govern compatibility with OLED host materials, establishing molecular ...
Mahmoud Soleimani +8 more
wiley +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source

